CN114047734B - Coal quality on-line detection data acquisition and control system - Google Patents
Coal quality on-line detection data acquisition and control system Download PDFInfo
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- 239000003245 coal Substances 0.000 title claims abstract description 219
- 238000001514 detection method Methods 0.000 title claims abstract description 94
- 238000004458 analytical method Methods 0.000 claims abstract description 67
- 238000000034 method Methods 0.000 claims abstract description 14
- 238000012545 processing Methods 0.000 claims description 66
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 claims description 58
- 229910052717 sulfur Inorganic materials 0.000 claims description 57
- 239000011593 sulfur Substances 0.000 claims description 57
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 40
- 238000004519 manufacturing process Methods 0.000 claims description 29
- 230000010354 integration Effects 0.000 claims description 17
- 230000006866 deterioration Effects 0.000 claims description 16
- 239000000126 substance Substances 0.000 claims description 12
- 238000012937 correction Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 abstract description 5
- 230000004927 fusion Effects 0.000 abstract description 3
- 238000011161 development Methods 0.000 description 4
- 238000002360 preparation method Methods 0.000 description 3
- 241000282414 Homo sapiens Species 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 239000000446 fuel Substances 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000000571 coke Substances 0.000 description 1
- 238000004939 coking Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
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- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
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Abstract
The invention discloses the technical field of coal energy, which is used for solving the problems that the existing coal quality detection mode has complex process and serious hysteresis, is difficult to perform fusion analysis on various index data for measuring the coal quality, cannot ensure the accuracy of a coal quality detection result and causes great influence on coal enterprises, and particularly discloses a coal quality online detection data acquisition and control system which comprises a data acquisition module, a plurality of analysis units, a characteristic item analysis unit, a control feedback unit and a display terminal; the coal quality detection system carries out data analysis and detection on the basic indexes of coal from multiple angles and layers, realizes the accuracy of accumulated analysis of various basic index data, and carries out comprehensive and refined demonstration output on the detection of the coal quality through the integrated output with characteristic data, thereby ensuring the detection level of the coal quality and improving the accuracy and the high efficiency of the detection.
Description
Technical Field
The invention relates to the technical field of coal energy, in particular to a coal quality online detection data acquisition and control system.
Background
Coal is known as black gold by people and is industrial food, which is one of the main energy sources used in the human world in the eighteenth century, and since the twenty-first century, although the value of coal is not as good as before, coal is still one of the indispensable energy sources for the production and life of human beings, so the control of coal quality is particularly important.
However, the detection of coal quality in the existing coal preparation plant still stays in a mode of a plurality of procedures such as manual sampling, sample preparation, chemical examination and the like, the detection mode process of coal preparation quality is too complex, and the detection of chemical examination result data has time lag, so that the obtaining of coal quality detection data is seriously lagged behind the production requirement, and the development of coal energy is hindered;
in addition, the traditional coal quality detection mode has large error, and is difficult to perform fusion analysis on various index data for measuring the coal quality, so that the accuracy of the coal quality detection result cannot be ensured, and huge waste and loss are caused to coal enterprises.
In order to solve the above-mentioned drawbacks, a technical solution is now provided.
Disclosure of Invention
The invention aims to solve the problems that the existing coal quality detection mode has complex process and serious hysteresis, various index data for measuring the coal quality are difficult to carry out fusion analysis, the accuracy of a coal quality detection result cannot be ensured, and the coal enterprises are greatly influenced The coal quality online detection data acquisition and control system has the advantages that refined demonstration output is realized, the coal quality detection result data and intelligent control are integrated by using the control signals, the coal quality is effectively judged, and meanwhile, the coal is better utilized and controlled, so that the level of coal quality detection is improved, the accuracy and the high efficiency of the coal quality detection are ensured, the development of enterprises is promoted, and the coal quality online detection data acquisition and control system is provided.
The purpose of the invention can be realized by the following technical scheme:
a coal quality on-line detection data acquisition and control system comprises a data acquisition module, a multi-item analysis unit, a characteristic item analysis unit, an integration control unit, a control feedback unit and a display terminal;
the data acquisition unit is used for acquiring the reference index information of the coal in real time and sending the reference index information to the multiple analysis units;
the data acquisition unit is also used for randomly acquiring specific index information of the same batch of coal and sending the specific index information to the characteristic item analysis unit;
the multiple analysis units are used for analyzing and processing the received reference index information step by step, generating an optimal base level signal, a medium-high base level signal, a medium-low base level signal and a worst base level signal according to the received reference index information, and sending the optimal base level signal, the medium-high base level signal, the medium-low base level signal and the worst base level signal to the integrated control unit;
the characteristic item analysis unit is used for carrying out characteristic analysis processing on the received specific index information, generating a slight metamorphic signal and a metamorphic superscript signal according to the specific index information, and sending the slight metamorphic signal and the metamorphic superscript signal to the integrated control unit;
the integration control unit carries out data integration analysis processing on the received optimal basic level signal, the middle-upper basic level signal, the middle-lower basic level signal and the worst basic level signal, the metamorphic light signal and the metamorphic superscript signal, generates a coal detection qualified control signal, a coal detection middle-level control signal and a coal detection unqualified control signal according to the data integration analysis processing, and sends the signals to the control feedback unit;
the control feedback unit feeds back, outputs and analyzes the received qualified coal detection control signal, the received medium-level coal detection control signal and the received unqualified coal detection control signal, generates a mass production instruction, a production adjustment instruction and a secondary processing instruction according to the feedback, and sends the mass production instruction, the production adjustment instruction and the secondary processing instruction to the display terminal for control and analysis.
Further, the acquisition process of the reference index information is as follows:
the method comprises the steps of finishing acquisition of reference index information of coal by controlling the transmission rate of coal conveying, wherein the reference index information is used for representing the basic index condition of the coal, and reflecting data information of the quality of the coal through basic indexes, and the reference index information comprises a total moisture component value, an atomic number value and a sulfur component value, wherein the total moisture component value is used for representing the overall moisture condition of the coal, the total moisture component value represents the sum of internal moisture and external moisture in the coal, the atomic number value is used for representing the combustible degree and the calorific value of the coal, the atomic number value represents the deviation condition between the atomic numbers of combustible substances and non-combustible substance elements in the coal, and the sulfur component value represents the proportion condition data of harmful sulfur elements contained in the coal.
Further, the specific operation steps of the step-by-step analysis processing are as follows:
s1: acquiring all-water component values, atomic number values and sulfur content values in the reference index information of coal in real time, and respectively marking the all-water component values, the atomic number values and the sulfur content values as Qusi、HurjAnd Luf, i = {1, 2, 3}, j = {1, 2, 3.. n }, and the all-water component value Qus is calculatediAtomic number magnitude HurjAnd the sulfur content value Luf are sequentially subjected to data processing analysis;
s2: acquiring all-water component values Qus on each coal layer surfaceiI = {1, 2, 3}, and mean value analysis processing is carried out on the signals, so that a reasonable moisture signal and a standard exceeding moisture signal are generated and are respectively marked as Q-1 and Q-2;
s3: according to the step S2, obtaining the atomic number value Hur of the coaljJ = {1, 2, 3.. n }, and the model analysis processing is carried out on the j = {1, 2, 3.. n }, so that an ash reasonable signal and an ash standard exceeding signal are generated and respectively marked as C-1 and C-2;
s4: according to the step S3, acquiring a sulfur content value Luf of the coal, comparing, analyzing and processing the sulfur content value Luf to generate a reasonable sulfur content signal and an overproof sulfur content signal, and respectively calibrating the reasonable sulfur content signal and the overproof sulfur content signal as L-1 and L-2;
s5: the discrimination signal data Q-1 and Q-2, C-1 and C-2 and L-1 and L-2 generated at the steps S2-S4 are extracted and subjected to a cross-classification process, and when Q-1. n.C-1. n.L-1 =1 occurs, an optimal base level signal is generated, when Q-2. n.C-2. n.L-2 =2 occurs, a worst base level signal is generated, when Q-1. n.C-1. n.L-2 = 1-or Q-1. n.C-2. n.L-1 = 1-or Q-2. n.C-1. n.L-1 = 1-occurs, a middle-level base level signal is generated, when Q-1. n.C-2. n.L-2 =2+, Q-2. C-2. n.L-1 =2+, Q-2. n.C-2 +.L-1 =2+ (Q-1 +., q-2. quadrature.C-1. quadrature.L-2 =2+, both generate the middle and lower base level signals.
Further, the specific operation steps of the mean value analysis processing are as follows:
acquiring all-water component values Qus on each coal layer surfaceiI = {1, 2, 3}, according to the formula Qus*=（Qus1+Qus2+Qus3) Dividing 3 to obtain the average value Qus of total water*The average value of the total water is Qus*Corresponding total moisture threshold value Yu1Comparing, if the total water mean value Qus*Less than or equal to total water contentThreshold value Yu1Generating a reasonable water signal if the average value of the total water is Qus*Greater than the total moisture threshold Yu1And generating a moisture exceeding signal.
Further, the specific operation steps of the model analysis processing are as follows:
establishing a two-dimensional coordinate system, taking the atomic number type as an abscissa and the atomic number value as an ordinate, establishing an atomic number datum line in the two-dimensional coordinate system, and obtaining all the atomic number values Hur in the coaljSubstituting into a two-dimensional coordinate system, and performing online and offline summation comparison;
and calibrating the on-line number sum of the atomic numbers above the datum line as XS, calibrating the off-line number sum of the atomic numbers below the datum line as XX, generating an ash content standard exceeding signal if the on-line number sum XS is not less than the off-line number sum XX, and generating an ash content reasonable signal if the on-line number sum XS is less than the off-line number sum XX.
Further, the specific operation steps of the comparison analysis processing are as follows:
substituting the sulfur content value Luf into the corresponding rated sulfur element threshold value Yu3If the sulfur content value Luf is at the rated sulfur element threshold value Yu3When the sulfur content is within the range, the sulfur content is reasonably signaled, and if the sulfur content value Luf is at the rated sulfur element threshold value Yu3Otherwise, a sulfur content exceeding signal is generated.
Further, the specific operation steps of the characteristic analysis processing are as follows:
randomly extracting coal of the same batch as the acquired reference index information, performing a conductivity test on the coal to generate a conductivity value, calling internal moisture data of the coal according to the conductivity value, marking the conductivity value as dnl, and marking the internal moisture of the coal as nezi *According to the formula
Determining a characteristic value tez, where e1And e2Respectively, the conductivity value and the coefficient of the correction factor of the intrinsic moisture of the coal, and e1＞e2＞0，e1+e2=0.3642；
The characteristic quantity value tez is compared with the corresponding metamorphic coefficient threshold value Yu4Comparing the values, if the characteristic value tez is less than the threshold value Yu of metamorphic coefficient4If the characteristic value tez is not less than the threshold value Yu of deterioration coefficient4And then generating a metamorphic superscript signal.
Further, the specific operation steps of the data integration analysis processing are as follows:
if the simultaneously obtained distinguishing signals are the optimal basic level signal and the slight metamorphic signal, outputting a qualified coal detection control signal, if the simultaneously obtained distinguishing signals are the worst basic level signal and the metamorphic superscript signal, outputting an unqualified coal detection control signal, and otherwise, outputting a medium coal detection control signal.
Further, the specific operation steps of the feedback output analysis processing are as follows:
when a qualified coal detection control signal is received, a mass production instruction is generated according to the qualified coal detection control signal, the mass production instruction is sent to a display terminal, and a technician receives the mass production instruction through the display terminal and accelerates the outward conveying speed of coal through a control platform;
when a coal detection intermediate control signal is received, a production adjusting instruction is generated according to the coal detection intermediate control signal, the instruction is sent to a display terminal, a technician receives the production adjusting instruction through the display terminal, changes a coal conveying path through a control platform, and conveys coal to a first path secondary processing workshop for primary processing operation;
when an unqualified control signal for coal detection is received, a secondary processing instruction is generated according to the unqualified control signal, the secondary processing instruction is sent to the display terminal, a technician receives the secondary processing instruction through the display terminal, changes a coal conveying path through the control platform, and conveys coal to a secondary processing workshop of a second path for deep processing operation.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the data analysis and cross integration grading processing are carried out on various basic index data of coal one by one, and the data analysis and detection are carried out on the basic quality of coal from multiple angles and layers, so that the accuracy of the accumulative analysis of various basic index data is realized, and the high efficiency and comprehensiveness of the coal quality detection are promoted;
2. according to the invention, characteristic data for judging the quality of coal is rapidly and accurately obtained through symbolic calibration, formulaic processing and datamation comparison analysis, and the accuracy and the high efficiency of coal detection are further realized;
3. according to the invention, the two types of index data are integrated, analyzed and output, comprehensive and refined demonstration output is carried out on the detection of the coal quality, the control of the coal is realized by using the control signal, the coal quality detection result data is integrated with intelligent control, and the coal is better utilized and controlled while the detection of the coal quality is effectively judged, so that the detection level of the coal quality is improved, the accuracy and the high efficiency of the coal quality detection are ensured, and the development of enterprises is promoted.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a general block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
as shown in fig. 1, a coal quality on-line detection data acquisition and control system includes a data acquisition module, a multi-item analysis unit, a characteristic item analysis unit, an integration control unit, a control feedback unit and a display terminal;
the data acquisition unit is used for acquiring the reference index information of the coal in real time and sending the reference index information to the multiple analysis units;
the acquisition process of the reference index information is as follows:
the method comprises the steps of finishing acquisition of benchmark index information of coal by controlling the transmission rate of coal conveying, wherein the benchmark index information is used for representing the basic index condition of the coal, and reflecting data information of the quality of the coal by the basic index, and the benchmark index information comprises a total water content component value, an atomic number value and a sulfur content value, wherein the total water content value is used for representing the overall water content condition of the coal, and the total water content value represents the sum of internal water and external water in the coal, and it needs to be noted that the larger the expression value of the total water content component value is, the more the expression value is, the use of the coal is unfavorable, the heat stability and heat conduction are influenced when the coal is combusted, the coke yield is reduced and the coking period is prolonged;
the atomic number value is used for indicating the combustible degree and the calorific value of coal, and the atomic number value indicates the deviation between the atomic numbers of combustible substances and non-combustible substance elements in the coal, it needs to be noted that the atomic number value of combustible substances contained in the coal is generally small, the atomic number value of non-combustible substances contained in the coal is generally large, and the larger the expression value of the atomic number value is, the lower the combustible degree and the calorific value of the coal are, otherwise, the higher the combustible degree and the calorific value of the coal are;
the sulfur content value represents the proportion data of harmful sulfur elements contained in the coal, and it should be noted that the smaller the expression value of the sulfur content value is, the higher the environmental protection property of the coal used as fuel is, and conversely, the lower the environmental protection property of the coal used as fuel is;
the data acquisition unit is also used for randomly acquiring specific index information of the same batch of coal and sending the specific index information to the characteristic item analysis unit, and it needs to be stated that the specific index information is used for data information representing the coal deterioration degree;
the multiple analysis units are used for analyzing and processing the received reference index information step by step, generating an optimal base level signal, a medium-high base level signal, a medium-low base level signal and a worst base level signal according to the received reference index information, and sending the optimal base level signal, the medium-high base level signal, the medium-low base level signal and the worst base level signal to the integrated control unit;
the characteristic item analysis unit is used for carrying out characteristic analysis processing on the received specific index information, generating a deterioration slight signal and a deterioration superscript signal according to the characteristic analysis processing, and sending the deterioration slight signal and the deterioration superscript signal to the integrated control unit;
the integration control unit carries out data integration analysis processing on the received optimal basic level signal, the middle-upper basic level signal, the middle-lower basic level signal and the worst basic level signal, the metamorphic light signal and the metamorphic superscript signal, generates a coal detection qualified control signal, a coal detection middle-level control signal and a coal detection unqualified control signal according to the data integration analysis processing, and sends the signals to the control feedback unit;
the control feedback unit feeds back, outputs and analyzes the received qualified coal detection control signal, the received medium-level coal detection control signal and the received unqualified coal detection control signal, generates a mass production instruction, a production adjustment instruction and a secondary processing instruction according to the feedback, and sends the mass production instruction, the production adjustment instruction and the secondary processing instruction to the display terminal for control and analysis.
Example two:
as shown in fig. 1, when the multiple-item analysis unit receives the reference index information, and performs the step-by-step analysis processing according to the reference index information, the specific operation steps are as follows:
s1: acquiring all-water component values, atomic number values and sulfur content values in the reference index information of coal in real time, and respectively marking the all-water component values, the atomic number values and the sulfur content values as Qusi、HurjAnd Luf, i = {1, 2, 3}, j = {1, 2, 3.. n }, and the all-water component value Qus is calculatediAtomic number magnitude HurjAnd a sulfur content value Luf, wherein i represents each collection level of coal, i =1 represents the upper side of coal, i =2 represents the left side of coal, i =3 represents the right side of coal, and j represents the types of combustible materials and non-combustible material elements contained in coal;
s2: acquiring all-water component values Qus on each coal layer surfacei，i=1, 2, 3, and performs a mean value analysis process, and the specific operation steps are as follows:
acquiring all-water component values Qus on each coal layer surfaceiI = {1, 2, 3}, according to the formula Qus*=（Qus1+Qus2+Qus3) Dividing 3 to obtain the average value Qus of total water*The average value of the total water is Qus*Corresponding total moisture threshold value Yu1Comparing, if the total water mean value Qus*Less than or equal to total water threshold value Yu1Generating a reasonable water signal if the average value of the total water is Qus*Greater than the total moisture threshold Yu1Generating a moisture exceeding signal, and respectively calibrating the generated moisture combination signal and the moisture exceeding signal as Q-1 and Q-2;
s3: according to the step S2, obtaining the atomic number value Hur of the coaljJ = {1, 2, 3.. n }, and the model analysis processing is performed on the j = {1, 2, 3.. n }, and the specific operation steps are as follows:
establishing a two-dimensional coordinate system, taking the atomic number type as an abscissa and the atomic number value as an ordinate, establishing an atomic number datum line in the two-dimensional coordinate system, and obtaining all the atomic number values Hur in the coaljSubstituting into a two-dimensional coordinate system, and performing online and offline summation comparison;
the number sum of the atomic number lines above the datum line is calibrated to be XS, the number sum of the atomic number lines below the datum line is calibrated to be XX, if the number sum of the atomic number lines is not less than the number sum of the atomic number lines XX, an ash content standard exceeding signal is generated, and if the number sum of the atomic number lines is less than the number sum of the atomic number lines XX, an ash content reasonable signal is generated;
respectively calibrating the generated ash reasonable signal and the ash standard exceeding signal as C-1 and C-2, wherein the ash reasonable signal and the ash standard exceeding signal are defined as an incombustible substance above an atomic number datum line and a combustible substance below the datum line;
s4: according to the step S3, the sulfur content value Luf of the coal is obtained and is compared and analyzed, and the specific operation steps are as follows:
substituting the sulfur content value Luf into the corresponding rated sulfur element threshold value Yu3Internal, if the sulfur content value is LufAt rated elemental sulfur threshold value Yu3When the sulfur content is within the range, the sulfur content is reasonably signaled, and if the sulfur content value Luf is at the rated sulfur element threshold value Yu3Otherwise, generating a sulfur content exceeding signal, and respectively calibrating the generated sulfur content reasonable signal and the sulfur content exceeding signal as L-1 and L-2;
s5: the discrimination signal data Q-1 and Q-2, C-1 and C-2 and L-1 and L-2 generated at the steps S2-S4 are extracted and subjected to a cross-classification process, and when Q-1. n.C-1. n.L-1 =1 occurs, an optimal base level signal is generated, when Q-2. n.C-2. n.L-2 =2 occurs, a worst base level signal is generated, when Q-1. n.C-1. n.L-2 = 1-or Q-1. n.C-2. n.L-1 = 1-or Q-2. n.C-1. n.L-1 = 1-occurs, a middle-level base level signal is generated, when Q-1. n.C-2. n.L-2 =2+, Q-2. C-2. n.L-1 =2+, Q-2. n.C-2 +.L-1 =2+ (Q-1 +., q-2-1-2 =2+, and then middle and lower base level signals are generated;
and sending the generated optimal base level signal, the middle-upper base level signal, the middle-lower base level signal and the worst base level signal to the integrated control unit.
Example three:
as shown in fig. 1, when the characteristic item analysis unit receives the specific index information, and performs the characteristic analysis processing according to the specific index information, the specific operation steps are as follows:
randomly extracting coal of the same batch as the acquired reference index information, performing a conductivity test on the coal to generate a conductivity value, calling internal moisture data of the coal according to the conductivity value, marking the conductivity value as dnl, and marking the internal moisture of the coal as nezi *According to the formula
Determining a characteristic value tez, where e1And e2Respectively, the conductivity value and the coefficient of the correction factor of the intrinsic moisture of the coal, and e1＞e2＞0，e1+e2=0.3642；
The characteristic quantity value tez is compared with the corresponding metamorphic coefficient threshold value Yu4Comparing the values, if the characteristic value tez is less than the threshold value Yu of metamorphic coefficient4When it occurs, deterioration occursA slight signal if the characteristic value tez is greater than or equal to the deterioration coefficient threshold Yu4Generating metamorphic superscript signals;
the characteristic value tez is used as a type of data for measuring the degree of coal deterioration, and the smaller the value of conductivity value, the larger the value of intrinsic moisture, the more severe the degree of coal deterioration, and conversely, the more weak the degree of coal deterioration.
Example four:
as shown in fig. 1, when the integrated control unit receives the optimal base level signal, the middle and upper base level signals, the middle and lower base level signals, the worst base level signal, the mild deterioration signal and the excessive deterioration signal, and performs data integration analysis processing according to the optimal base level signal, the middle and lower base level signals, the minimum base level signal and the slight deterioration signal, and the excessive deterioration signal, the specific operation steps are as follows:
if the simultaneously acquired discrimination signals are an optimal base level signal and a slight metamorphic signal, outputting a qualified coal detection control signal, if the simultaneously acquired discrimination signals are a worst base level signal and a metamorphic superscript signal, outputting an unqualified coal detection control signal, and otherwise, outputting a medium coal detection control signal, and sending the qualified coal detection control signal, the medium coal detection control signal and the unqualified coal detection control signal to a control feedback unit;
the control feedback unit feeds back, outputs and analyzes the received qualified control signal, the received medium-level control signal and the received unqualified control signal for coal detection, and comprises the following specific operation steps:
when a qualified coal detection control signal is received, a mass production instruction is generated according to the qualified coal detection control signal, the mass production instruction is sent to a display terminal, and a technician receives the mass production instruction through the display terminal and accelerates the outward conveying speed of coal through a control platform;
when a coal detection intermediate control signal is received, a production adjusting instruction is generated according to the coal detection intermediate control signal, the instruction is sent to a display terminal, a technician receives the production adjusting instruction through the display terminal, changes a coal conveying path through a control platform, and conveys coal to a first path secondary processing workshop for primary processing operation;
when an unqualified control signal for coal detection is received, a secondary processing instruction is generated according to the unqualified control signal, the secondary processing instruction is sent to the display terminal, a technician receives the secondary processing instruction through the display terminal, changes a coal conveying path through the control platform, and conveys coal to a secondary processing workshop of a second path for deep processing operation.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
such as the formula:
；
collecting multiple groups of sample data and setting corresponding correction factor coefficient for each group of sample data by the technicians in the field; substituting the set correction factor coefficient and the collected sample data into a formula, forming a linear equation set by any two formulas, screening the calculated coefficients and taking the mean value to obtain e1And e2Values of 0.0589 and 0.3053, respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and regarding the size of the coefficient, the size depends on the number of sample data and a corresponding correction factor coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relationship between the parameters and the quantized values is not affected.
When the coal quality detection device is used, various basic index data of coal are collected in real time, the various basic index data are subjected to data analysis one by one, and the basic quality of the coal is subjected to data analysis and detection from multiple angles and layers in a mode of averaging processing, coordinate modeling analysis, summation comparison analysis and substitution comparison analysis, so that the accuracy and the efficiency of the coal quality detection are improved;
the basic index discrimination data of the coal is further subjected to cross integration grading processing in a symbol assignment mode, so that the accumulation and analysis work of various basic index data of the coal are realized, and the efficiency and the accuracy of coal quality detection are further promoted;
by randomly extracting coal of the same batch, collecting characteristic index data of the coal, and performing symbolic calibration, formulaic processing and data comparison and analysis, characteristic data for judging the quality of the coal is quickly and accurately obtained, and the accuracy and the high efficiency of coal detection are further realized;
the two types of index data are integrated, analyzed and output, comprehensive and refined demonstration output is carried out on the detection of the coal quality, the control of the coal is realized by using a control signal, the coal quality detection result data and intelligent control are integrated, the coal quality is effectively judged, and meanwhile, the coal is better utilized and controlled, so that the detection level of the coal quality is improved, the accuracy and the efficiency of the coal quality detection are ensured, and the development of enterprises is promoted.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. A coal quality on-line detection data acquisition and control system is characterized by comprising a data acquisition module, a multi-item analysis unit, a characteristic item analysis unit, an integration control unit, a control feedback unit and a display terminal;
the data acquisition unit is used for acquiring the reference index information of the coal in real time and sending the reference index information to the multiple analysis units;
the data acquisition unit is also used for randomly acquiring specific index information of the same batch of coal and sending the specific index information to the characteristic item analysis unit;
the multiple analysis units are used for analyzing and processing the received reference index information step by step, and the specific operation steps are as follows:
s1: acquiring all-water component values, atomic number values and sulfur content values in the reference index information of coal in real time, and respectively marking the all-water component values, the atomic number values and the sulfur content values as Qusi、HurjAnd Luf, i = {1, 2, 3}, j = {1, 2, 3.. n }, and the all-water component value Qus is calculatediAtomic number magnitude HurjAnd the sulfur content value Luf are sequentially subjected to data processing analysis;
s2: acquiring all-water component values Qus on each coal layer surfaceiI = {1, 2, 3}, and mean value analysis processing is performed, and the specific operation steps are as follows:
acquiring all-water component values Qus on each coal layer surfaceiI = {1, 2, 3}, according to the formula Qus*=（Qus1+Qus2+Qus3) Dividing 3 to obtain the average value Qus of total water*The average value of the total water is Qus*Corresponding total moisture threshold value Yu1Comparing, if the total water mean value Qus*Less than or equal to total water threshold value Yu1Generating a reasonable water signal if the average value of the total water is Qus*Greater than the total moisture threshold Yu1Generating a moisture exceeding signal, and respectively calibrating the generated moisture combination signal and the moisture exceeding signal as Q-1 and Q-2;
s3: according to the step S2, obtaining the atomic number value Hur of the coaljJ = {1, 2, 3.. n }, and the model analysis processing is performed on the j = {1, 2, 3.. n }, and the specific operation steps are as follows:
establishing a two-dimensional coordinate system, taking the atomic number type as an abscissa and the atomic number value as an ordinate, establishing an atomic number datum line in the two-dimensional coordinate system, and obtaining all the atomic number values Hur in the coaljSubstituting into a two-dimensional coordinate system, and performing online and offline summation comparison;
calibrating the on-line number sum of atomic numbers above a datum line into XS, calibrating the off-line number sum of atomic numbers below the datum line into XX, generating ash content exceeding signals if the on-line number sum XS is not less than the off-line number sum XX, generating ash content reasonable signals if the on-line number sum XS is less than the off-line number sum XX, and calibrating the ash content reasonable signals and the ash content exceeding signals generated according to the ash content exceeding signals into C-1 and C-2 respectively;
s4: according to the step S3, the sulfur content value Luf of the coal is obtained and is compared and analyzed, and the specific operation steps are as follows:
substituting the sulfur content value Luf into the corresponding rated sulfur element threshold value Yu3If the sulfur content value Luf is at the rated sulfur element threshold value Yu3When the sulfur content is within the range, the sulfur content is reasonably signaled, and if the sulfur content value Luf is at the rated sulfur element threshold value Yu3Otherwise, generating a sulfur content exceeding signal, and respectively calibrating the generated sulfur content reasonable signal and the sulfur content exceeding signal into L-1 and L-2;
s5: the discrimination signal data Q-1 and Q-2, C-1 and C-2 and L-1 and L-2 generated at the steps S2-S4 are extracted and subjected to a cross-classification process, and when Q-1. n.C-1. n.L-1 =1 occurs, an optimal base level signal is generated, when Q-2. n.C-2. n.L-2 =2 occurs, a worst base level signal is generated, when Q-1. n.C-1. n.L-2 = 1-or Q-1. n.C-2. n.L-1 = 1-or Q-2. n.C-1. n.L-1 = 1-occurs, a middle-level base level signal is generated, when Q-1. n.C-2. n.L-2 =2+, Q-2. C-2. n.L-1 =2+, Q-2. n.C-2 +.L-1 =2+ (Q-1 +., Q-2-C-1-L-2 =2+, then generating middle and lower base level signals, and sending the generated optimal base level signal, middle and upper base level signal, middle and lower base level signal and worst base level signal to the integrated control unit;
the characteristic item analysis unit is used for carrying out characteristic analysis processing on the received specific index information, generating a slight metamorphic signal and a metamorphic superscript signal according to the specific index information, and sending the slight metamorphic signal and the metamorphic superscript signal to the integrated control unit;
the integration control unit carries out data integration analysis processing on the received optimal basic level signal, the middle-upper basic level signal, the middle-lower basic level signal and the worst basic level signal, the metamorphic light signal and the metamorphic superscript signal, generates a coal detection qualified control signal, a coal detection middle-level control signal and a coal detection unqualified control signal according to the data integration analysis processing, and sends the signals to the control feedback unit;
the control feedback unit feeds back, outputs and analyzes the received qualified coal detection control signal, the received medium-level coal detection control signal and the received unqualified coal detection control signal, generates a mass production instruction, a production adjustment instruction and a secondary processing instruction according to the feedback, and sends the mass production instruction, the production adjustment instruction and the secondary processing instruction to the display terminal for control and analysis.
2. The system for acquiring and controlling the coal quality online detection data according to claim 1, wherein the acquisition process of the reference index information is as follows:
the method comprises the steps of finishing acquisition of reference index information of coal by controlling the transmission rate of coal conveying, wherein the reference index information is used for representing the basic index condition of the coal, and reflecting data information of the quality of the coal through basic indexes, and the reference index information comprises a total moisture component value, an atomic number value and a sulfur component value, wherein the total moisture component value is used for representing the overall moisture condition of the coal, the total moisture component value represents the sum of internal moisture and external moisture in the coal, the atomic number value is used for representing the combustible degree and the calorific value of the coal, the atomic number value represents the deviation condition between the atomic numbers of combustible substances and non-combustible substance elements in the coal, and the sulfur component value represents the proportion condition data of harmful sulfur elements contained in the coal.
3. The system for acquiring and controlling the coal quality online detection data according to claim 1, characterized in that the specific operation steps of the characteristic analysis processing are as follows:
randomly extracting coal of the same batch as the acquired reference index information, performing a conductivity test on the coal to generate a conductivity value, calling internal moisture data of the coal according to the conductivity value, marking the conductivity value as dnl, and marking the internal moisture of the coal as nezi *According to the formula
Determining a characteristic value tez, where e1And e2Respectively, the conductivity value and the coefficient of the correction factor of the intrinsic moisture of the coal, and e1＞e2＞0，e1+e2=0.3642；
The characteristic quantity value tez is compared with the corresponding metamorphic coefficient threshold value Yu4Comparing the values, if the characteristic value tez is less than the threshold value Yu of metamorphic coefficient4If the characteristic value tez is not less than the threshold value Yu of deterioration coefficient4And then generating a metamorphic superscript signal.
4. The system for acquiring and controlling the coal quality online detection data according to claim 1, characterized in that the specific operation steps of the data integration analysis processing are as follows:
if the simultaneously obtained distinguishing signals are the optimal basic level signal and the slight metamorphic signal, outputting a qualified coal detection control signal, if the simultaneously obtained distinguishing signals are the worst basic level signal and the metamorphic superscript signal, outputting an unqualified coal detection control signal, and otherwise, outputting a medium coal detection control signal.
5. The system for acquiring and controlling the coal quality online detection data according to claim 1, wherein the feedback output analysis processing comprises the following specific operation steps:
when a qualified coal detection control signal is received, a mass production instruction is generated according to the qualified coal detection control signal, the mass production instruction is sent to a display terminal, and a technician receives the mass production instruction through the display terminal and accelerates the outward conveying speed of coal through a control platform;
when a coal detection intermediate control signal is received, a production adjusting instruction is generated according to the coal detection intermediate control signal, the instruction is sent to a display terminal, a technician receives the production adjusting instruction through the display terminal, changes a coal conveying path through a control platform, and conveys coal to a first path secondary processing workshop for primary processing operation;
when an unqualified control signal for coal detection is received, a secondary processing instruction is generated according to the unqualified control signal, the secondary processing instruction is sent to the display terminal, a technician receives the secondary processing instruction through the display terminal, changes a coal conveying path through the control platform, and conveys coal to a secondary processing workshop of a second path for deep processing operation.
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